No time series analysis, and some problems in the guidance of some programming tasks. Mainly de first week, the rest of it was pretty good.

Good course. I would suggest to split the first week into 2 weeks, which makes easier to grasp all the concept with a deeper understanding.

Some assignments don't have enough descriptions to help me deeply understand the core concept of the algorithms. Hope it can be improved.

The assignments of this course "Sequence Models" require sufficient knowledge of Keras and Tensorflow, which is not friendly to beginners.

There are some problems in the code of the assignments, as well as the expected outputs, which costs a lot of time for me to figure out.

Very Awesome Course i got knowledge about Sequence to Sequence models and how they works in practical software . Thanks to Prof.Andrew.

Gives good insight, focuses almost exclusively on natural language processing - would have been nice to see other applications as well.

Exercises' grader didn't accept all the functions correctly, lose much time searching in the discussion.

Too many corrections in the way

First three chapters where just great, fourth was very good, but fifth was not very understable and assisgnments were quite annoying.

Great instructor, good and challenging assignments. Thank you!

The grader problem in the Dinosaur Island should be solved once for all.

Everything is great except the last assignment - trigger word detection is hard to save and submit, and i can't even open it sometime.

Great course (except from the last assignment, that was extremely difficult in comparison to other assigments). Totally recomended!!!

Parts of the critical details are a little vague, but the intuition and experience provided are extremely valuable and useful for me!

Found it a bit harder to follow along. I believe this topic needs a more indepth treatment and possibly more time (4 weeks at least).

The exercices are not great. Would be better to have real programming exercises instead of the "fill-in-the-gaps" type of exercises.

Really good course, but the audio quality (repetitions, periods of silence etc) was decreasing over the course of the specialization

The exercises are somewhat tough for this exercise I think the time should be extended by one week extra to complete the assignment.

The material is great. On the other hand, if we could get a lecture on Keras, it would help us work on the programming assignments.

Besides some technical difficulties in the notebook (and some minor details in the video quality) the course was very informative!

Overall well executed course and sequence. You'll pick up RNN essentials and use Keras/Tensorflow to work through simple examples.

Video editing is bad and assignments have lots of inconsistent wording and bugs, apart from that knowledge wise really good course

Course was very good and I learned a lot. I think assignments can be more open ended to encourage students to try multiple ideas.

Assignments were confusing in when they seemed to work but graded wrong and sometimes they were graded correct but didn't work.

Some programming assignments have few errors in them (wrong equations, wrong expected output etc.) which need to be corrected.

This course is very useful!!! I want to give you 5 stars but there are a lot of bugs on your practice course. Please check it.